Triple
T7563437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RDF 1.1 XML Syntax |
E178848
|
entity |
| Predicate | targetDomain |
P1902
|
FINISHED |
| Object | Linked Data |
E171295
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Linked Data | Statement: [RDF 1.1 XML Syntax, targetDomain, Linked Data]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linked Data Context triple: [RDF 1.1 XML Syntax, targetDomain, Linked Data]
-
A.
Linked Data
chosen
Linked Data is a method of publishing and interlinking structured data on the web using standard formats and URIs so that information can be easily connected and queried across different sources.
-
B.
Library of Congress Linked Data Service
The Library of Congress Linked Data Service is an online platform that publishes the Library of Congress’s controlled vocabularies and authority data in machine-readable linked data formats for use in cataloging and semantic web applications.
-
C.
Linked Data Design Issues
Linked Data Design Issues is a foundational document by Tim Berners-Lee that outlines the core principles, challenges, and best practices for publishing and connecting structured data on the Web.
-
D.
Semantic Web
The Semantic Web is an extension of the current web in which information is given well-defined meaning through standards like RDF and OWL, enabling machines to understand, share, and reason about data across different systems.
-
E.
Government Linked Data Working Group
The Government Linked Data Working Group is a W3C group focused on developing standards and best practices for publishing and using government data as linked open data on the web.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f2f80288190b95cceb4da92ab2b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8fb1c00819096bdb73334d8d72e |
completed | March 27, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856d8206081909987556fb6ab7084 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:50 p.m.